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Federal
Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
Department of Commerce —
This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This... -
Federal
Noise Datasets for Evaluating Deep Generative Models
National Institute of Standards and Technology —
Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited... -
Federal
Noise Datasets for Evaluating Deep Generative Models
Department of Commerce —
Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited... -
Federal
A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks
National Institute of Standards and Technology —
Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid... -
Federal
**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
National Institute of Standards and Technology —
This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532 -
Federal
A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks
Department of Commerce —
Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid... -
Federal
Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
Department of Energy —
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity,... -
Federal
Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
National Institute of Standards and Technology —
This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This... -
Federal
**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
Department of Commerce —
This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532